FPGA Implementation of Connected Component Watershed Image Segmentation

Megha Sharma, Seema Verma

Abstract: Image Segmentation is an important process for image processing analysis and for computer vision. A segmentation problem includes the partitioning of an image into a number of homogeneous segments and union of any two segments forms a heterogeneous segment. There are various methods which deal with segmentation and feature extraction like Markova random field based technique, edge based technique, histogram based technique etc. However, the segmentation is a challenging task because of the variety and complexity of images. To reduce the complexity of the hardware architecture, watershed transform using connected component has been used for image segmentation.

Keywords: image segmentation, watershed transform, connected component, FPGA

How to Cite?: Megha Sharma, Seema Verma, "FPGA Implementation of Connected Component Watershed Image Segmentation", Volume 4 Issue 12, December 2015, International Journal of Science and Research (IJSR), Pages: 1563-1567, https://www.ijsr.net/getabstract.php?paperid=NOV152304, DOI: https://dx.doi.org/10.21275/NOV152304